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A wavelet-based technique for eliminating noise from optical spectra
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| dc.contributor.author | Sibgatullin M. | |
| dc.contributor.author | Kharintsev S. | |
| dc.contributor.author | Il'in G. | |
| dc.contributor.author | Salakhov M. | |
| dc.date.accessioned | 2018-09-17T20:59:47Z | |
| dc.date.available | 2018-09-17T20:59:47Z | |
| dc.date.issued | 2005 | |
| dc.identifier.issn | 0971-9237 | |
| dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/134367 | |
| dc.description.abstract | In the paper we deal with the removal of noise from an optical spectral line of Cu I (330.79 nm: 4P12F0 - 4d14G). For this purpose we use wavelet denoising algorithm along with the minimal energy criterion that allows one to effectively divide the signal into "useful" and parasite components. This approach is tested on an example of reconstruction of a Lorenzian profile blurred by a random fractal noise. | |
| dc.relation.ispartofseries | Asian Journal of Spectroscopy | |
| dc.subject | Denoising | |
| dc.subject | Optical spectra | |
| dc.subject | Wavelet-based technique | |
| dc.title | A wavelet-based technique for eliminating noise from optical spectra | |
| dc.type | Article | |
| dc.relation.ispartofseries-issue | 1-4 | |
| dc.relation.ispartofseries-volume | 9 | |
| dc.collection | Публикации сотрудников КФУ | |
| dc.relation.startpage | 43 | |
| dc.source.id | SCOPUS09719237-2005-9-14-SID33645955561 |
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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.